Shoot Thinning Percent Removal
Audit matched shoot removal across unequal represented vine cohorts with correct inventory weighting, not averaging percentages or a pruning prescription.
Description
Shoot removal percentages need matched before-and-after counts.
Shoot removal percentages need matched before-and-after counts. A pooled removal rate weights cohorts by actual shoot inventory.
Audit matched shoot removal across unequal represented vine cohorts with correct inventory weighting, not averaging percentages or a pruning prescription.
When to use Shoot Thinning Percent Removal
Use this tool to audit matched shoot removal across unequal represented vine cohorts with correct inventory weighting, not averaging percentages or a pruning prescription.
Prepare vineyard measurements, dates or block records for the intended growing period. Keep weights, counts and weather observations in the stated units.
How to use Shoot Thinning Percent Removal and understand its results
- Prepare vineyard measurements, dates or block records for the intended growing period. Keep weights, counts and weather observations in the stated units.
- Enter originalShootCountsByVine, retainedShootCountsByVine, representedVineCounts using the field table and calculation rules, then run the tool.
- Read perVineShootRemovalPercentages, inventoryWeightedShootRemovalPercent. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| originalShootCountsByVine | Original shoot counts by vine | list of number | Required |
| retainedShootCountsByVine | Retained shoot counts by vine | list of number | Required |
| representedVineCounts | Represented vine counts | list of number | Required |
Align positive integer original counts and represented vines with nonnegative retained counts no greater than original. Return per-vine percentages and inventory-weighted removal.1
Paired lists must be nonempty and have equal lengths.
pooled removal percent = 100 × Σ removed × represented vines/Σ original × represented vines Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| perVineShootRemovalPercentages | Per vine shoot removal percentages | list of number |
| inventoryWeightedShootRemovalPercent | Inventory weighted shoot removal percent | number |
{
"input": {
"originalShootCountsByVine": [
10,
20
],
"retainedShootCountsByVine": [
5,
15
],
"representedVineCounts": [
1,
3
]
},
"output": {
"perVineShootRemovalPercentages": [
50,
25
],
"inventoryWeightedShootRemovalPercent": 28.571428571428573
}
}Limitations and assumptions
The pooled rate is not an average of percentages; it does not prescribe thinning intensity.
Numbers and computed results must be finite; overflow produces an error. Numeric lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Shoot Density Per Meter Row: Normalize observed shoot inventories by actual row versus multiple-curtain exposure, retaining different denominators; no shoot density target or canopy quality inference. For a complementary task, use Head Trained Vine Arm Count: Audit observed head-trained vine permanent arms against caller per-vine targets, keeping simultaneous local deficits/excesses rather than hiding them in pooled count; no training/pruning recommendation.
References
-
Shoot Thinning Percent Removal — tool.io
Similar or alternative tools
- Shoot Density Per Meter Row
Normalize observed shoot inventories by actual row versus multiple-curtain exposure, retaining different denominators; no shoot density target or canopy quality inference.
- Head Trained Vine Arm Count
Audit observed head-trained vine permanent arms against caller per-vine targets, keeping simultaneous local deficits/excesses rather than hiding them in pooled count; no training/pruning recommendation.